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Field
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multidisciplinary team environment. Your responsibilities will include: Conduct Comprehensive Research: Implement literature searches, data mining, and analysis to build databases on nitrogen use and losses in
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is to perform studies on chick embryos, investigating hypothalamic development. Perform data mining of chick scRNA-seq datasets Participate in weekly project team meetings and attend relevant research
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combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
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as citation records; Evidence of international recognisation and research awards; Five (5) copies of significant publications; Names and contact information of at least three (3) academic referees
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journals (including as the main author), such as ICSE, FSE, ASE, ISSTA, SANER, ICPC, ICSME, MSR, TOSEM, JSS, I&ST, TSE, and EMSE • Experience publishing in related fields, such as data mining and machine
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was ranked #45 globally. For further information on our school go to - https://www.unsw.edu.au/engineering/our-schools/mechanical-and-manufacturing-engineering The UNSW Nuclear Innovation Centre is a
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on the development of new methods integrating a variety of data types (remote sensing, geology, geophysics, geochemistry) for geological modelling and advanced exploration targeting of mineral deposits
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will join a multidisciplinary team to work on cutting-edge research projects to develop and apply data mining/machine learning approaches on high dimensional biological and clinical datasets. The initial
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, signal processing, and data mining A strong background in programming, statistical analysis, and spatial modelling and mapping Highly motivated to work on the subject and eager to work in an
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: • Track record of success in co-authorship on scientific papers, presenting results, and representing research at meetings. • Knowledge of machine learning, data mining, and analytic techniques. Conditions